buygit_audit_repo

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description carries the full burden. It details return types (license, supply-chain risk, popularity, repo signals) and explains caching vs live-probing. However, it omits potential rate limits or side effects from GitHub API calls.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is 4 concise sentences with front-loaded purpose. Every sentence adds value: action+results, caching detail, and use cases. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema and single parameter, the description covers core behavior, caching, and usage cases. Missing details on rate limits or authentication, but overall sufficient for an agent to select and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 100% schema coverage, the description adds significant meaning: it clarifies that the tool works on any external repo (not just catalog) and explains behavioral differences based on catalog membership, which the schema's regex and description do not convey.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: auditing any external GitHub repo for license, supply-chain risk, popularity, and repo signals. It distinguishes itself from siblings by emphasizing external repos and one-shot comprehensive audit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit use cases like 'is github.com/X/Y safe to bundle?' and 'what license is github.com/X/Y under?'. It also explains caching vs live-probing behavior, but does not explicitly mention when to use alternatives like buygit_deep_audit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.